home.aspx
 
. https://www.healthaffairs.org/do/10.1377/hblog20200128.626576/full/
article
SHARESHARESHARE
DISCRIMINATION BY ARTIFICIAL INTELLIGENCE IN A COMMERCIAL ELECTRONIC HEALTH RECORD—A CASE STUDY
When artificial intelligence (AI) is built into electronic health record (EHR) software, who is responsible for the consequences? Does responsibility lie exclusively with the hospital or health system that uses the vendor’s software, or is responsibility shared with the EHR vendor? What role should regulators, such as the Food and Drug Administration (FDA), have in ensuring that AI in health care is trustworthy and equitable?  AI has the potential to transform health care, but implementation at the point of care is fraught with challenges. Many health systems find it attractive to implement AI developed by EHR vendors that is integrated directly into existing EHR implementations (built-in AI). The leading global developer of EHRs, Epic Systems, Inc., has responded to this market enthusiasm with a growing set of predictive models. Here, we describe our experience implementing a predictive model developed by Epic and the ethical issues raised by its deployment. SARA G. MURRAY READ MORE